Demonstration of a new approach for measuring tools with the impingement sound of an air jet using machine learning

Würschinger H, Gross D, Stadler M, Mühlbauer M, Hanenkamp N (2021)

Publication Type: Journal article

Publication year: 2021

Journal

URI: https://www.mmscience.eu/journal/issues/november-2021/articles/demonstration-of-a-new-approach-for-measuring-tools-with-the-impingement-sound-of-an-air-jet-using-machine-learning

DOI: 10.17973/MMSJ.2021_11_2021139

Abstract

Monitoring the tool condition of machining processes is important but challenging. Several automated tool condition monitoring solutions are available, but often not used due to existing restrictions or disadvantages. A new approach can be the detection and measurement of tool conditions analyzing the sound of an air jet impingement on tools. Due to the availability of compressed air as a working and cleaning medium for many processes, this approach can be used for various condition monitoring and measuring tasks. In this paper the procedure and its functionality are first presented on simple shapes and then tested on the tool wear of inserts.

Authors with CRIS profile

Hubert Würschinger Lehrstuhl für Ressourcen- und Energieeffiziente Produktionsmaschinen Daniel Gross Lehrstuhl für Ressourcen- und Energieeffiziente Produktionsmaschinen Manuel Stadler Chair of Engineering Design Matthias Mühlbauer Lehrstuhl für Ressourcen- und Energieeffiziente Produktionsmaschinen Nico Hanenkamp Lehrstuhl für Ressourcen- und Energieeffiziente Produktionsmaschinen

How to cite

APA:

Würschinger, H., Gross, D., Stadler, M., Mühlbauer, M., & Hanenkamp, N. (2021). Demonstration of a new approach for measuring tools with the impingement sound of an air jet using machine learning. MM Science Journal. https://dx.doi.org/10.17973/MMSJ.2021_11_2021139

MLA:

Würschinger, Hubert, et al. "Demonstration of a new approach for measuring tools with the impingement sound of an air jet using machine learning." MM Science Journal (2021).

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